RAG From Scratch → Production

By datasciencebrain

Free

ABOUT THE PAGE

Build retrieval systems you can actually ship, not just notebook demos.

What it is

  • A hands-on guide that takes you from "my RAG demo works" to "I can ship and defend a production RAG system."
  • You build every piece by hand first, then rebuild it with the framework, so nothing is a black box.
  • Organized as a complexity ladder: learn the cheap wins first, the exotic stuff last, and when to skip a rung.

Who it's for

  • Developers comfortable with Python + APIs.
  • Anyone stuck at "the demo fell apart on real users, real data, or real cost."
  • ❌ Not for you if you want no-code drag-and-drop or a vendor-logo tour.

What's inside

  • 📘13 chapters: ingestion, embeddings, retrieval, reranking, grounding, evaluation, agentic, GraphRAG, multimodal, text-to-SQL, security, production.
  • 🧭4 appendices: decision cheat-sheets, tooling map, reference architectures, anti-patterns.
  • 💻Runnable code for every chapter, version-pinned, built from scratch.
  • 🚀Full capstone project: a tested, hardened RAG service plus an architecture decision record.
  • 🔑 Runs on free tooling: one free API key, everything else local. Zero cost to run.

₹̶2̶9̶9̶  ₹199 · instant download · book + code + capstone

Frequently asked questions
CONTACT ME FOR ANY ISSUES OR QUERIES
datascienceenthusiast000@gmail.com
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